Physical impact from Coastal Flooding
This dataset contains the spatial distribution of mean damage in RV1 at the building level produced by a Tsunami-induced Coastal flooding, as presented in the associated study. Contents <li
This dataset contains the spatial distribution of mean damage in RV1 at the building level produced by a Tsunami-induced Coastal flooding, as presented in the associated study.
Contents
- Buildings_Disaggregation.shp: polygon layer of buildings obtained via the disaggregation procedure proposed in the study and associated data
- Tsunami.aux.xml: raster of coastal flooding flow depth
- Mean Damage – Costal flooding (Tsunami).lyrx – symbology layer for mean damage to buildings generated by coastal flooding inferred by Tsunami
- Tsunami Flow depth – H(m).lyrx – symbology layer for coastal flooding flow depth
Attributes
- IDAG: unique building aggregate identifier
- BldCount: number of building units within the building aggregate
- Material: most frequent material within the building aggregate
- Age: most frequent construction period within the building aggregate
- Storeys: most frequent number of storeys within the building aggregate
- Usage: most frequent usage class within the building aggregate (RESIDENTIAL, INDUSTRIAL, or EXCLUDED from disaggregation)
- Tsunami_H_: Tsunami flow height (m)
- muD_tsunami: Mean damage from Costal flooding
The dataset represents the results of a simulation-based assessment of damage to buildings generated by coastal flooding inferred by a Tsunami. The mean damage is evaluated at the building level within a virtual testbed representative of typical Italian coastal urban contexts, Coastal Returnville (RV1).
For visualization consistent with the figures presented in the paper, the provided .lyrx files should be applied to the shapefile.
Coordinate system
WGS84 – 33N
Notes
Results from building disaggregation reported in the shapefile correspond to the mode (i.e., for each feature, the most frequent within the building aggregate). For further information regarding each building unit, the user should refer to the associated matlab file (Disaggregated_building_data.mat).
<s
📤 Share this page
Found this useful? Share it with your network.
Files are hosted on the source repository. Click download to access the full dataset.